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Poster
Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models
Alexander Ihler · Padhraic Smyth
Author Information
Alexander Ihler (UC Irvine)
Padhraic Smyth (University of California, Irvine)
More from the Same Authors
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2021 : Temporal-Difference Value Estimation via Uncertainty-Guided Soft Updates »
Litian Liang · Yaosheng Xu · Stephen McAleer · Dailin Hu · Alexander Ihler · Pieter Abbeel · Roy Fox -
2022 : Probabilistic Querying of Continuous-Time Sequential Events »
Alex Boyd · Yuxin Chang · Stephan Mandt · Padhraic Smyth -
2022 Poster: Predictive Querying for Autoregressive Neural Sequence Models »
Alex Boyd · Samuel Showalter · Stephan Mandt · Padhraic Smyth -
2021 Poster: Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning »
Aodong Li · Alex Boyd · Padhraic Smyth · Stephan Mandt -
2021 Poster: Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration »
Gavin Kerrigan · Padhraic Smyth · Mark Steyvers -
2020 Poster: Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference »
Disi Ji · Padhraic Smyth · Mark Steyvers -
2020 Poster: User-Dependent Neural Sequence Models for Continuous-Time Event Data »
Alex Boyd · Robert Bamler · Stephan Mandt · Padhraic Smyth -
2018 Poster: Lifted Weighted Mini-Bucket »
Nicholas Gallo · Alexander Ihler -
2017 Workshop: NIPS Highlights (MLTrain), Learn How to code a paper with state of the art frameworks »
Alex Dimakis · Nikolaos Vasiloglou · Guy Van den Broeck · Alexander Ihler · Assaf Araki -
2017 : Coffee break and Poster Session II »
Mohamed Kane · Albert Haque · Vagelis Papalexakis · John Guibas · Peter Li · Carlos Arias · Eric Nalisnick · Padhraic Smyth · Frank Rudzicz · Xia Zhu · Theodore Willke · Noemie Elhadad · Hans Raffauf · Harini Suresh · Paroma Varma · Yisong Yue · Ognjen (Oggi) Rudovic · Luca Foschini · Syed Rameel Ahmad · Hasham ul Haq · Valerio Maggio · Giuseppe Jurman · Sonali Parbhoo · Pouya Bashivan · Jyoti Islam · Mirco Musolesi · Chris Wu · Alexander Ratner · Jared Dunnmon · Cristóbal Esteban · Aram Galstyan · Greg Ver Steeg · Hrant Khachatrian · Marc Górriz · Mihaela van der Schaar · Anton Nemchenko · Manasi Patwardhan · Tanay Tandon -
2017 Poster: Dynamic Importance Sampling for Anytime Bounds of the Partition Function »
Qi Lou · Rina Dechter · Alexander Ihler -
2016 Workshop: Towards an Artificial Intelligence for Data Science »
Charles Sutton · James Geddes · Zoubin Ghahramani · Padhraic Smyth · Chris Williams -
2016 Poster: Learning Infinite RBMs with Frank-Wolfe »
Wei Ping · Qiang Liu · Alexander Ihler -
2015 Poster: Probabilistic Variational Bounds for Graphical Models »
Qiang Liu · John Fisher III · Alexander Ihler -
2015 Poster: Decomposition Bounds for Marginal MAP »
Wei Ping · Qiang Liu · Alexander Ihler -
2014 Poster: Distributed Estimation, Information Loss and Exponential Families »
Qiang Liu · Alexander Ihler -
2013 Workshop: Crowdsourcing: Theory, Algorithms and Applications »
Jennifer Wortman Vaughan · Greg Stoddard · Chien-Ju Ho · Adish Singla · Michael Bernstein · Devavrat Shah · Arpita Ghosh · Evgeniy Gabrilovich · Denny Zhou · Nikhil Devanur · Xi Chen · Alexander Ihler · Qiang Liu · Genevieve Patterson · Ashwinkumar Badanidiyuru Varadaraja · Hossein Azari Soufiani · Jacob Whitehill -
2013 Poster: Scoring Workers in Crowdsourcing: How Many Control Questions are Enough? »
Qiang Liu · Alexander Ihler · Mark Steyvers -
2013 Spotlight: Scoring Workers in Crowdsourcing: How Many Control Questions are Enough? »
Qiang Liu · Alexander Ihler · Mark Steyvers -
2013 Poster: Variational Planning for Graph-based MDPs »
Qiang Cheng · Qiang Liu · Feng Chen · Alexander Ihler -
2012 Workshop: Algorithmic and Statistical Approaches for Large Social Network Data Sets »
Michael Goodrich · Pavel N Krivitsky · David M Mount · Christopher DuBois · Padhraic Smyth -
2012 Poster: Variational Inference for Crowdsourcing »
Qiang Liu · Jian Peng · Alexander Ihler -
2011 Oral: Continuous-Time Regression Models for Longitudinal Networks »
Duy Q Vu · Arthur Asuncion · David Hunter · Padhraic Smyth -
2011 Poster: Continuous-Time Regression Models for Longitudinal Networks »
Duy Q Vu · Arthur Asuncion · David Hunter · Padhraic Smyth -
2010 Spotlight: Learning concept graphs from text with stick-breaking priors »
America Chambers · Padhraic Smyth · Mark Steyvers -
2010 Poster: Learning concept graphs from text with stick-breaking priors »
America Chambers · Padhraic Smyth · Mark Steyvers -
2009 Poster: Particle-based Variational Inference for Continuous Systems »
Alexander Ihler · Andrew Frank · Padhraic Smyth -
2008 Poster: Asynchronous Distributed Learning of Topic Models »
Arthur Asuncion · Padhraic Smyth · Max Welling -
2007 Spotlight: Distributed Inference for Latent Dirichlet Allocation »
David Newman · Arthur Asuncion · Padhraic Smyth · Max Welling -
2007 Poster: Distributed Inference for Latent Dirichlet Allocation »
David Newman · Arthur Asuncion · Padhraic Smyth · Max Welling -
2006 Poster: Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model »
Chaitanya Chemudugunta · Padhraic Smyth · Mark Steyvers -
2006 Poster: Hierarchical Dirichlet Processes with Random Effects »
Seyoung Kim · Padhraic Smyth